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OpenStack環境で利用されるハイパフォーマンスストレージの紹介

 OpenStack環境で利用されるハイパフォーマンスストレージの紹介

特にHPC業界で広く利用されている、エンタープライズ・スケールアウトGPFSファイルストレージ「GRIDScaler™」をOpenStack環境で活用する方法をご紹介します。

DataDirect Networks Japan

January 06, 2016
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  1. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    OpenStack 環境で利用される
    ハイパフォーマンスストレージの紹介
    2016/01/29
    DataDirect Networks Japan, Inc.
    塩入ヶ谷 寛
    Hiroshi Shioirigatani

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  2. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    自己紹介
    ► DataDirect Networks Japan
    • 塩入ヶ谷 寛 (しおいりがたに ひろし)
    o
    プリセルースエンジニア
    ► 主な担当
    • 製造・自動車 CAE
    • 通信事業 Big Data
    • クラウド事業
    • 仮想化・OpenStack
    2

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  3. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    Agenda
    ► DDN とは
    ► DDN 製品ポートフォリオ
    ► DDN GRIDScaler について
    • GPFS とは
    • GPFS の基本構成
    ► OpenStack 環境での GPFS の利用
    • メリット
    • Storage Pool
    • Replica
    ► Performance
    • GPFS Local Read Only Cache vs DDN SFX
    3

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  4. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    4
    DDN とは

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  5. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    DDN について
    5
    顧客:
    1,100以上、50カ国
    大規模環境における
    ビッグデータ・ライフサイクルマネージメントの課題を解決します
    数々の受賞歴
    従業員:
    650名以上、20カ国
    ビジネスモデル:
    パートナービジネス・一部ダイレクト
    歴史:
    1998年設立
    本社:
    米国カリフォルニア サンタクララ
    製造拠点:
    米国カリフォルニア チャッツワース

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  6. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    DDN Japan
    6
    代表者 代表取締役社長:ロベルト・トリンドル
    取締役:Alex Bouzari (DDN米国本社CEO)
    取締役:Paul Bloch (DDN米国本社ボードメンバー)
    社員 30 名以上
    事業内容 DDN ストレージ・ソリューションの販売, DDN ストレージ・ソリューションの設計, 構築、保守
    国内代理店 SCSK, CTCSP, 日本 SGI, 朋栄、加賀ソルネット、, 伊藤忠ケーブルシステム、HPC ソリューションズ
    OEM販売 SONY, 日本 SGI、クレイ・ジャパン・インク、日本 IBM、日本 HP

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  7. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    DDN とは
    ► ハイパフォーマンスストレージ
    • SFA7700X
    • SFA12KX
    • SFA14K
    ► 高密度 ディスクエンクロージャ
    • 4 U で 3.5 インチディスクを 84 本 搭載可能
    • 6Gb SAS または、 12Gb SAS
    ► ファイル・オブジェクトアクセスソリューションの提供
    • GPFS (IBM Spectrum Scale)
    • Lustre
    • IME (Infinite Memory Engine)
    • WOS (Web Object Scaler)
    ► HPC 業界での実績
    7

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  8. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS with DDN SFA12KX
    パフォーマンス
    8
    38 Pool 53 Pool 76 Pool
    Write (GB/s) 26.57 32.31 34.11
    Read (GB/s) 28.80 35.61 39.17
    26.57
    32.31
    34.11
    28.80
    35.61
    39.17
    0.00
    5.00
    10.00
    15.00
    20.00
    25.00
    30.00
    35.00
    40.00
    45.00
    GB/sec

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  9. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    DDN SFA12KXi
    All Flash Array
    9
    0
    500,000
    1,000,000
    1,500,000
    2,000,000
    2,500,000
    3,000,000
    3,500,000
    4,000,000
    4,500,000
    1 8 16 32 40 48 56 64
    IOPS
    Pool Count
    Random Read IOPS
    4K I/O Size
    8K I/O Size
    16K I/O Size
    32K I/O Size
    64K I/O Size
    256K I/O Size
    0
    5,000
    10,000
    15,000
    20,000
    25,000
    30,000
    35,000
    40,000
    45,000
    50,000
    1 8 16 32 40 48 56 64 72
    Rate (MB/s)
    Pool Count
    Random Read Throughput
    64K I/O Size
    256K I/O Size
    512K I/O Size
    1M I/O Size
    2M I/O Size
    4M I/O Size
    0
    500,000
    1,000,000
    1,500,000
    2,000,000
    2,500,000
    3,000,000
    1 8 16 32 40 48 56 64 72
    IOPS
    Pool Count
    Random 50%-50% Read-Write
    4K I/O Size
    8K I/O Size
    16K I/O Size
    32K I/O Size
    64K I/O Size
    256K I/O Size
    TEST CONFIGURATION:
    SFX12KXi w 5x Shelves
    144x SSD (RAID-1)

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  10. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    高密度エンクロージャ
    DDN SS84xx
    10
    SS8460 Internals
    Completely Fault Tolerant
    IO Module A
    42 x
    Dual-Port
    HDDs/SSDs
    42 x
    Dual-Port
    HDDs/SSDs
    IO Module B
    Multipath Controller I/O
    16 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    4 x SAS 6Gb
    42 x SAS 6Gb
    42 x SAS 6Gb 42 x SAS 6Gb
    42 x SAS 6Gb

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  11. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    DDN ストレージ
    HPC 業界での実績
    11
    80%
    of the Top 10
    67%
    of the Top 100
    32%
    of the Top 500

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  12. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    12
    DDN 製品ポートフォリオ

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  13. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    ペタスケール
    Lustre® ストレージ
    Up to 100,000 Clients
    Open Source
    Leading metadata &
    small file performance
    EXAScaler™
    DDN 製品
    ポートフォリオ
    13
    コア ストレージ プラットフォーム
    48GB/s, 1.7M IOPS
    1,680 Drives in 2 Racks
    Embedded Computing
    12.5GB/s, 450K IOPS
    60 Drives in 4U
    396 Drives in 20U
    SFA™12KX SFA™7700X
    SFA14K
    60GB/s, 6M IOPS
    72 Drives in 4U 2.5in
    1680 Drives in 2 Racks
    エンタープライズ
    スケールアウト
    GPFS ファイルストレージ
    Up to ~16,000 Clients
    Integrated Object Storage,
    Tape
    NFS & CIFS & Swift & HDFS
    Snapshots, Replication
    GRIDScaler™ / GS7K*
    SFA
    Software
    SSD Cache
    SFX™
    Intelligent
    Cache
    Management
    ReACT™
    Full Data
    Protection
    Direct Protect™
    ストレージエンクロージャ
    4 U 84 Drives
    6 Gbps SAS
    SS8460
    4 U 84 Drives
    12 Gbps SAS
    SS8412
    柔軟なドライブ構成
    1 つのディスクエンクロージャに混在可能
    SAS SSD , NVMe NL-SAS
    Virtualization Environment
    VMware
    Cinder Swift
    Glance Manila
    NFS FC

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  14. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    通常のストレージ
    14
    Cache Link
    Write I/O
    Cache
    Battery-Backed
    L2 Cache
    Battery-Backed
    L2 Cache

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  15. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    DDN SFA
    ReACT
    15
    IOサイズに応じ、シーケンシャルデータはキャッシュを介さず直接ディスクに書き込み、小さなランダムデータは
    キャッシュに書き込まれます。その結果、ライトキャッシュを有効利用する事でシステム全体の書き込みの最適化
    を実現します。
    Aligned I/O
     シーケンシャルデータ(フルストライプ)はキャッシュを利用せず、ディスクに直接ストライプ書込され、
    キャッシュリンクを利用せずオーバヘッドを軽減する
    Unaligned I/O
     ランダムデータはキャッシュに書き込み、ランダムWrite I/O性能の低下を防ぐ
    High-Speed
    Cache Link
    Full Stripe Small Write I/O
    Cache
    Battery-Backed
    SFA L2 Cache
    Battery-Backed
    SFA L2 Cache

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  16. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    16
    DDN GRIDScaler について
    GPFS (IBM Spectrum Scale)

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  17. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS とは
    17
    ► 複数のアクセス方式を有する、スケールアウト型の SDS
    • 高速なシミュレーションや解析、Cloud環境で必要なパラレルI/Oを提供
    • 汎用的にアクセスするためのNAS を同時に提供
    o GPFS , NFS , CIFS , Swift
    ► DDN SFA ストレージ との組み合わせで、省スペース・ハイパフォーマンス
    I/Oを提供
    • 1 クライアントから、最大 4GB/sec の I/O を実現※1
    ► 豊富な機能
    • Snapshot/Rollback
    • File Level Clone
    • Quota
    • Data and Metadata Replica
    • Active File Management
    • Disaster Recovery
    • HSM (ILM)
    • Local Read Only Cache
    • HAWC
    • NFS / CIFS / Swift / HDFS RPC Access
    • CLI / GUI Management
    ※1 Infiniband FDR を使用
    NSD#1 NSD#2 NSD#3 NSD#4
    DDN SFA
    GPFS
    Client
    複数のサーバから
    同時に Read

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  18. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS 基本構成
    18
    NSD
    Server 1
    NSD
    Server 2
    ・・・・ NSD
    Server N
    Protocol
    Node
    NFS
    Protocol
    Node
    CIFS
    Protocol
    Node
    Swift
    GPFS
    Client
    GPFS
    Client
    GPFS
    Client
    ・・・・
    Protocol
    Client
    Protocol
    Client
    Protocol
    Client
    ・・・・
    ・・・・
    LROC
    GPFS File System
    NSD NSD NSD
    LROC
    NFS CIFS Swift
    NSD: Network Shared Disk
    Ethernet
    Infiniband
    FC or IB
    LROC: Local Read-Only Cache
    Ethernet
    IPoIB
    HDFS
    Client
    GUI
    Node
    WOS Core
    Tape
    Library
    TSM
    Bridge
    Migration
    Cinder
    Glance
    Object Storage

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  19. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    19
    OpenStack 環境における GPFS

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  20. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    OpenStack 環境における
    GPFS メリット
    ► Compute Node からのパラレル I/O
    ► GPFS Client (Compute Node) のパフォーマンス監視が可能な GUI
    ► Storage Pool (ILM) を利用したデータマネージメント
    ► 利用用途に合わせた、データレプリケーション
    ► GPFS Client (Compute Node) が GPFS で利用する メモリを制限
    ► 複数の Cinder Volume の作成速度
    ► Swift でのアクセス、 Manila による ファイルサービスの提供も可能
    20

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  21. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    OpenStack 環境における
    GPFS メリット
    ► Compute Node からのパラレル I/O
    ► GPFS Client (Compute Node) のパフォーマンス監視が可能な GUI
    ► Storage Pool (ILM) を利用したデータマネージメント
    ► 利用用途に合わせた、データレプリケーション
    ► GPFS Client (Compute Node) が GPFS で利用する メモリを制限
    ► 複数の Cinder Volume の作成速度
    ► Swift でのアクセス、 Manila による ファイルサービスの提供も可能
    21

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  22. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS GUI
    22
    ► カスタマイズ可能な
    ダッシュボード

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  23. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    Performance
    Metrics
    23

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  24. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    OpenStack 環境における
    GPFS メリット
    ► Compute Node からのパラレル I/O
    ► GPFS Client (Compute Node) のパフォーマンス監視が可能な GUI
    ► Storage Pool (ILM) を利用したデータマネージメント
    ► 利用用途に合わせた、データレプリケーション
    ► GPFS Client (Compute Node) が GPFS で利用する メモリを制限
    ► 複数の Cinder Volume の作成速度
    ► Swift でのアクセス、 Manila による ファイルサービスの提供も可能
    24

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  25. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS
    Storage Pool
    25
    SSD NL-SAS
    SSD
    SSD
    NL-SAS
    NL-SAS
    NL-SAS
    NL-SAS
    NL-SAS
    GPFS File System
    System
    Storage Pool
    NL-SAS
    Storage Pool
    /gpfs
    glance
    cinder



    さまざまなポリシーに基づき
    データをマイグレーション
    スタブ
    [gpfs_ssd]
    gpfs_storage_pool = system
    [gpfs_nl-sas]
    gpfs_storage_pool = NL-SAS
    Volume Type Fast Normal
    Metadata
    Volume-xxxxxxx
    Cinder.conf

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  26. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    cinder.conf
    • volume_driver =
    cinder.volume.drivers.ibm.gpfs.GPFSDriver
    • gpfs_images_dir = /gpfs/glance
    • gpfs_images_share_mode = copy_on_write
    • gpfs_max_clone_depth = 0
    • gpfs_mount_point_base /gpfs
    • gpfs_sparse_volumes = True
    • gpfs_storage_pool = system
    26

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  27. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    OpenStack 環境における
    GPFS メリット
    ► Compute Node からのパラレル I/O
    ► GPFS Client (Compute Node) のパフォーマンス監視が可能な GUI
    ► Storage Pool (ILM) を利用したデータマネージメント
    ► 利用用途に合わせた、データレプリケーション
    ► GPFS Client (Compute Node) が GPFS で利用する メモリを制限
    ► 複数の Cinder Volume の作成速度
    ► Swift でのアクセス、 Manila による ファイルサービスの提供も可能
    27

    View full-size slide

  28. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS
    Replica
    28
    GPFS File System
    Failure
    Group
    100
    Failure
    Group
    200
    Replica
    # cinder create --metadata fstype=ext4 fslabel=newfs dio=yes replicas=1 --display-name vol01 50
    # cinder create --metadata fstype=ext4 fslabel=newfs dio=yes replicas=2 --display-name vol02 50
    vol01
    vol02
    Replica
    NSD
    Server
    SFA7700X

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  29. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS
    Cinder Create
    • fstype
    • fslabel
    • data_pool_name
    • replicas
    • dio
    • write_affinity_depth
    • block_group_factor
    • write_affinity_failure_group
    29
    # cinder create --metadata fstype=ext4 fslabel=newfs dio=yes replicas=2 --display-name volume_1 50

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  30. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    30 構成例

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  31. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    構成例
    2 x NSD Server with SFA7700X
    31
    Pool 0
    Vdisk 0
    (LUN0)
    Raid6
    (8d+2p)
    Pool 1
    Vdisk 1
    (LUN1)
    Raid6
    (8d+2p)
    Pool 8
    Vdisk 8
    (LUN8)
    Raid6
    (8d+2p)
    Pool 9
    Vdisk 9
    (LUN9)
    Raid6
    (8d+2p)
    nsd01
    21 TiB
    nsd02
    21 TiB
    nsd08
    21 TiB
    nsd09
    21 TiB
    SFA7700X
    8 TB NL-SAS x120
    750 TiB
    /gpfs
    glance
    cinder
    volume-5cbd0b01-6a20-4b00-adb6-c3d06be83b45
    volume-8ba2535d-f4b4-477e-a013-275db98f71e3
    snap-8ba2535d-f4b4-477e-a013-275db98f71e3






    10 TiB
    30TiB
    share1 100 GB
    Compute Nodes
    GPFS Clients
    Quota 値
    仮想マシン用 ボリュームファイル
    仮想マシン用 ボリュームファイル
    仮想マシン用 スナップショットファイル
    Cinder
    Glance
    Controller Node
    GPFS Client
    ・・・ 10 LUN ・・・
    GPFS File System
    GPFS Filesystem は
    任意の LUN を組みあわせて
    作成することが可能です。
    Virtual Machines
    GPFS Server
    (NSD Server)
    NSD Server
    NSD Server NSD Server
    NSD Server NSD Server
    NSD Server NSD Server
    NSD Server

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  32. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    構成例
    GPFS アプライアンス GS7K
    32
    Pool 0
    Vdisk 0
    (LUN0)
    Raid6
    (8d+2p)
    Pool 1
    Vdisk 1
    (LUN1)
    Raid6
    (8d+2p)
    Pool 8
    Vdisk 8
    (LUN8)
    Raid6
    (8d+2p)
    Pool 9
    Vdisk 9
    (LUN9)
    Raid6
    (8d+2p)
    nsd01
    21 TiB
    nsd02
    21 TiB
    nsd08
    21 TiB
    nsd09
    21 TiB
    GPFS Apliance
    GS7K
    8 TB NL-SAS x120
    750 TiB
    /gpfs
    glance
    cinder
    volume-5cbd0b01-6a20-4b00-adb6-c3d06be83b45
    volume-8ba2535d-f4b4-477e-a013-275db98f71e3
    snap-8ba2535d-f4b4-477e-a013-275db98f71e3






    10 TiB
    30TiB
    share1 100 GB
    Compute Nodes
    GPFS Clients
    Quota 値
    仮想マシン用 ボリュームファイル
    仮想マシン用 ボリュームファイル
    仮想マシン用 スナップショットファイル
    Cinder
    Glance
    Controller Node
    GPFS Client
    ・・・ 10 LUN ・・・
    GPFS File System
    GPFS Filesystem は
    任意の LUN を組みあわせて
    作成することが可能です。
    Virtual Machines
    10GbE or 40GbE 10GbE or 40GbE 10GbE or 40GbE 10GbE or 40GbE
    NSD
    Server
    NSD
    Server
    NSD
    Server
    NSD
    Server
    NSD
    Server
    NSD
    Server
    NSD
    Server
    NSD
    Server
    NSD Server NSD Server
    SFA7700X

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  33. ddn.com
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    Any statements or representations around future events are subject to change.
    33
    Performance
    GPFS LROC vs DDN SFX

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  34. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    Benchmark Result
    From 32 VM and 64 VM Client with LROC
    34
    Linux GPFS Clients
    2 x Dell R630
    10GbE Swich
    1 x Brocade TurboIron
    NSD Servers
    2 x Dell R630
    NSD
    1 x SF7700X-FC
    1 x SS8460
    100 x 900 GB 10krpm SAS 8 Gb FC
    10 Gb Ethernet
    Benchmark Environment
    SSD SSD SSD SSD
    VM
    VM
    VM VM
    VM
    VM
    ・・・ VM
    VM
    VM VM
    VM
    VM
    ・・・
    32 VM 32 VM
    0
    2,000
    4,000
    6,000
    8,000
    10,000
    12,000
    14,000
    16,000
    10
    20
    30
    40
    50
    60
    70
    80
    90
    100
    110
    120
    130
    140
    150
    160
    170
    180
    190
    200
    210
    220
    230
    240
    250
    260
    270
    280
    290
    300
    310
    320
    330
    340
    350
    360
    370
    380
    390
    400
    410
    420
    430
    440
    450
    460
    470
    480
    490
    500
    510
    520
    530
    540
    550
    560
    570
    580
    590
    600
    Random 4KB Read IOPS
    from VM on GPFS Client
    32 VM(1 GPFS Client) Read 64 VM(2 GPFS Client) Read
    Read Read
    32 VM(1 GPFS Client) 64 VM(2 GPFS Client)
    Avarage 9,106 14,417
    0
    2,000
    4,000
    6,000
    8,000
    10,000
    12,000
    14,000
    16,000
    IOPS
    Random 4KB Read IOPS
    from VM on GPFS Client

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  35. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    Benchmark Result
    From 32 VM and 64 VM Client with SFX
    35
    Linux GPFS Clients
    2 x Dell R630
    10GbE Swich
    1 x Brocade TurboIron
    NSD Servers
    2 x Dell R630
    NSD
    1 x SF7700X-FC
    1 x SS8460
    100 x 900 GB 10krpm SAS
    8 Gb FC
    10 Gb Ethernet
    Benchmark Environment
    SSD
    SSD
    VM
    VM
    VM VM
    VM
    VM
    ・・・ VM
    VM
    VM VM
    VM
    VM
    ・・・
    32 VM 32 VM
    SSD
    SSD
    4x Pliant LB206S
    0
    10,000
    20,000
    30,000
    40,000
    50,000
    60,000
    10
    20
    30
    40
    50
    60
    70
    80
    90
    100
    110
    120
    130
    140
    150
    160
    170
    180
    190
    200
    210
    220
    230
    240
    250
    260
    270
    280
    290
    300
    310
    320
    330
    340
    350
    360
    370
    380
    390
    400
    410
    420
    430
    440
    450
    460
    470
    480
    490
    500
    510
    520
    530
    540
    550
    560
    570
    580
    590
    600
    Random 4KB Read IOPS
    from VM on GPFS Client with SFX
    32 VM(1 GPFS Client) Read IOPS 64 VM(2 GPFS Client) Read IOPS
    32 VM(1 GPFS Client) 64 VM(2 GPFS Client)
    Avarage 18,738 39,187
    0
    5,000
    10,000
    15,000
    20,000
    25,000
    30,000
    35,000
    40,000
    45,000
    IOPS
    Random 4KB Read IOPS
    from VM on GPFS Client with SFX

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  36. ddn.com
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    Any statements or representations around future events are subject to change.
    Benchmark Result compare LROC and SFX
    From 32 VM and 64 VM Client
    36
    0
    10,000
    20,000
    30,000
    40,000
    50,000
    60,000
    10
    20
    30
    40
    50
    60
    70
    80
    90
    100
    110
    120
    130
    140
    150
    160
    170
    180
    190
    200
    210
    220
    230
    240
    250
    260
    270
    280
    290
    300
    310
    320
    330
    340
    350
    360
    370
    380
    390
    400
    410
    420
    430
    440
    450
    460
    470
    480
    490
    500
    510
    520
    530
    540
    550
    560
    570
    580
    590
    600
    Random 4KB Read IOPS
    from VM on GPFS Client
    LROC 32 VM(1 GPFS Client) LROC 64 VM(2 GPFS Client) SFX 32 VM(1 GPFS Client) SFX 64 VM(2 GPFS Client)

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  37. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    37 まとめ

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  38. ddn.com
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    Any statements or representations around future events are subject to change.
    OpenStack 環境における
    GPFS のメリット
    ► Compute Node からのパラレル I/O
    ► GPFS Client (Compute Node) のパフォーマンス監視が可能な GUI
    ► Storage Pool (ILM) を利用したデータマネージメント
    ► 利用用途に合わせた、データレプリケーション
    ► GPFS Client (Compute Node) が GPFS で利用する メモリを制限
    ► 複数の Cinder Volume の作成速度
    ► Swift でのアクセス、 Manila による ファイルサービスの提供も可能
    ► DDN SFA と使用することで最大限のパフォーマンスが発揮できる
    38

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  39. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    102-0081
    東京都千代田区四番町6-2
    東急番町ビル 8F
    TEL:03-3261-9101
    FAX:03-3261-9140
    company/datadirect-networks
    @ddn_limitless
    [email protected]
    Thank You!
    Keep in touch with us

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  40. ddn.com
    © 2015 DataDirect Networks, Inc. * Other names and brands may be claimed as the property of others.
    Any statements or representations around future events are subject to change.
    GPFS Cinder Driver
    Functions
    Function Y/N Comments
    Create Volume OK
    Delete Volume OK
    Attach Volume OK
    Detach Volume OK
    Extend Volume OK
    Create Snapshot OK
    Delete Snapshot OK
    List Snapshots OK
    Create Volume from Snapshot OK
    Create Volume from Image OK
    Create Volume from Volume (Clone) OK
    Create Image from Volume OK
    Volume Migration (host assisted) OK

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